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Most cost-efficient AI models ($ per correct answer)

Ranked by USD per correct answer — true intelligence-per-dollar, not just sticker price. A cheap model that needs many retries is not cheap. Cost-per-correct already amortizes the error rate, so it is the honest cost metric for budget-sensitive workloads.

Ranking 22 models across the meo-tested roster · as of 2026-06-08.

#ModelLab$/correct
1Owl Alphaopenrouter$0.0000
2Perceptron: Perceptron Mk1perceptron$0.0013
3Xiaomi: MiMo-V2.5xiaomi$0.0026
4DeepSeek: DeepSeek V4 Flashdeepseek$0.0037
5inclusionAI: Ring-2.6-1Tinclusionai$0.0052
6MiniMax: MiniMax M3minimax$0.0074
7Qwen: Qwen3.7 Plusqwen$0.0119
8Tencent: Hy3 previewtencent$0.0140
9xAI: Grok 4.3x-ai$0.0182
10StepFun: Step 3.7 Flashstepfun$0.0256
11Qwen: Qwen3.7 Maxqwen$0.0320
12Google: Gemini 3.1 Flash Litegoogle$0.0326
13Arcee AI: Trinity Large Thinkingarcee-ai$0.0352
14OpenAI: GPT-5.5openai$0.0435
15MoonshotAI: Kimi K2.6moonshotai$0.0440
16DeepSeek: DeepSeek V4 Prodeepseek$0.0473
17NVIDIA: Nemotron 3 Ultranvidia$0.0496
18Xiaomi: MiMo-V2.5-Proxiaomi$0.0563
19Anthropic: Claude Opus 4.8anthropic$0.0584
20Google: Gemini 3.5 Flashgoogle$0.0705
21Google: Gemini 3.1 Pro Previewgoogle$0.0968
22Z.ai: GLM 5.1z-ai$0.1058

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